sourcecode/scoring/post_selection_similarity.py [121:142]:
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  ratings = pd.concat(
    [ratingsWithPostSelectionSimilarityValue, ratingsWithNoPostSelectionSimilarityValue], axis=0
  )
  ratings.drop(
    columns={c.noteAuthorParticipantIdKey, c.raterParticipantIdKey + "_note_author"},
    errors="ignore",
    inplace=True,
  )
  return ratings


def filter_all_ratings_by_post_selection_similarity(ratings, highPostSelectionSimilarityRaters):
  """
  Deprecated.
  Filters out all ratings from raters who have high post selection similarity.
  """
  ratings = ratings.merge(
    highPostSelectionSimilarityRaters, on=c.raterParticipantIdKey, how="left", indicator=True
  )
  ratings = ratings[ratings["_merge"] == "left_only"]
  ratings = ratings.drop(columns=["_merge"])
  return ratings
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sourcecode/scoring/post_selection_similarity_old.py [123:144]:
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  ratings = pd.concat(
    [ratingsWithPostSelectionSimilarityValue, ratingsWithNoPostSelectionSimilarityValue], axis=0
  )
  ratings.drop(
    columns={c.noteAuthorParticipantIdKey, c.raterParticipantIdKey + "_note_author"},
    errors="ignore",
    inplace=True,
  )
  return ratings


def filter_all_ratings_by_post_selection_similarity(ratings, highPostSelectionSimilarityRaters):
  """
  Deprecated.
  Filters out all ratings from raters who have high post selection similarity.
  """
  ratings = ratings.merge(
    highPostSelectionSimilarityRaters, on=c.raterParticipantIdKey, how="left", indicator=True
  )
  ratings = ratings[ratings["_merge"] == "left_only"]
  ratings = ratings.drop(columns=["_merge"])
  return ratings
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